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https://issues.apache.org/jira/browse/TIKA-1876?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15171368#comment-15171368
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ASF GitHub Bot commented on TIKA-1876:
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GitHub user manalishah opened a pull request:
https://github.com/apache/tika/pull/80
Integrate NLTK with Tika fix for TIKA-1876 contributed by manalishah
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/manalishah/tika TIKA-1876
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/tika/pull/80.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #80
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commit c809690ec87ffa600018dbc5eee6d6756645adb0
Author: manali <[email protected]>
Date: 2016-02-27T03:58:06Z
fix for TIKA-1876 contributed by manalishah
commit 3a7e24c9a5d77ae41bde0c2106233a2064c5e707
Author: manali <[email protected]>
Date: 2016-02-27T04:00:05Z
fix for TIKA-1876 contributed by manalishah
commit 114d0ff24bd04395852012a3382d50c3e906e6db
Author: manali <[email protected]>
Date: 2016-02-27T04:06:20Z
fix for TIKA-1876 contributed by manalishah
commit cdb684d9c1b0ebb01a783180f07417760fa04d6f
Author: manali <[email protected]>
Date: 2016-02-27T10:10:06Z
fix for TIKA-1876 contributed by manalishah
----
> Integrate Natural Language Toolkit (NLTK) into Tika to perform Named Entity
> Recognition
> ---------------------------------------------------------------------------------------
>
> Key: TIKA-1876
> URL: https://issues.apache.org/jira/browse/TIKA-1876
> Project: Tika
> Issue Type: New Feature
> Components: parser
> Affects Versions: 1.13
> Reporter: Manali Shah
> Fix For: 1.13
>
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> Hi all,
> Apache Tika already performs Named Entity Recognition using Open NLP and
> Stanford Core NLP. Natural Language Toolkit is another open source python
> library and I believe it will be a great idea to have NLTK integrated along
> with Tika.
> NLTK can extract NER as well as classify them. For this purpose I, along with
> Prof Chris Mattmann have published NLTKRest, a python pip/setuptools
> installable module that exposes NLTK as a REST service.
> I have tested the working of Tika along with NLTKRest on my local repository
> and will soon submit a pull request.
> Link to rest server: https://github.com/manalishah/NLTKRest
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